.png)
.png){kind=logo}
Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.
Job Purpose and Impact
Key Accountabilities
Qualifications
- The Senior Software Engineering job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members.
Key Accountabilities
- SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
- AUTOMATION: Leads the AI application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.
- COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to understand complex requirements and deliver solutions that meet business needs.
- CONTINUOUS IMPROVEMENT: Suggests options for improving the software development through the use of AI and implements the approved standards to improve efficiency and reliability.
- DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
- ADOPTION: Creates training, demonstrations, workshops, playbooks to help champion the use of AI solutions within the software engineering team as well as business stakeholders
Qualifications
- Have a Bachelor's degree with minimum 10 years of professional experience.
- Deep experience with low code/no code AI solutions
- Product management, digital product ownership, innovation consulting or business transformation.
- Experience with delivery , automation, ML or generative-AI products.
- Business discovery and process-improvement experience.
- Leading adoption, training or communities of practice.
- Ability to identify and develop reusable patterns and use cases, especially within the context of AI solutions
Cargill Bengaluru, Karnataka, IND Office
Cargill’s office is part of a major IT hub in Bengaluru, offering top-tier amenities, including a vibrant cafeteria, sports facilities, and digitalized services. Convenient housing and dining options, and robust transportation make the location a convenient place to live and work.
Similar Jobs at Cargill
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Analyzes moderately complex datasets to support corporate audit objectives, including control effectiveness, operational and IT risk assessment, anomaly detection, and audit findings. Builds automated reports, dashboards, and visualizations; validates data accuracy and integrity; identifies process improvements; and collaborates with auditors, data engineering, and technology teams. Requires knowledge of audit, risk, Finance or IT processes, with preferred experience in Power BI, Tableau, SQL, Python, ERP systems, and AI tools.
Top Skills:
ChatgptClaudeLarge Language Models (Llms)Microsoft CopilotMicrosoft Power BiOraclePythonSAPSQLTableau
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Assists with designing, developing, testing, debugging, deploying, and maintaining software applications. Writes clean and scalable code, supports automation and deployment processes, participates in code reviews, documents systems, troubleshoots standard issues, and collaborates with product, design, architecture, and engineering teams.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Leads and manages a software engineering team delivering scalable enterprise applications and digital solutions. Oversees architecture, development, project planning, quality assurance, technical support, documentation, and process improvement. Partners cross-functionally to align technology outcomes with business needs, while mentoring engineers, guiding technical decisions, and fostering a high-performing engineering culture. The role also supports data platforms, integrations, AI-enabled capabilities, DevSecOps, SRE, and modern software architecture practices.
Top Skills:
AgileAi/MlAnalyticsAPIsCi/CdDevsecopsDomain-Driven Design (Ddd)Enterprise Data PlatformsEvent-Driven ArchitectureGenerative AiIntegrationsLlmsMicroservicesObservabilityPrompt DesignRetrieval-Augmented Generation (Rag)Site Reliability Engineering (Sre)Software EngineeringSolution Architecture
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
